{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "score_man = pd.read_excel('./体测分数_男生.xls')\n",
    "score_woman = pd.read_excel('./体测分数_女生.xls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "score_man.insert( loc = 4,\n",
    "                  column = '男1000米跑评价',\n",
    "                  value = pd.cut(score_man['男1000米跑'],bins=3,labels=['较差','中等','优秀']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "score_man.insert( loc = 13,\n",
    "                  column ='男引体评价',\n",
    "                  value = pd.cut(score_man['男引体'],bins=3,labels=['较差','中等','优秀']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Adobe Devanagari',\n",
       " 'Agency FB',\n",
       " 'Algerian',\n",
       " 'Arial',\n",
       " 'Arial Rounded MT Bold',\n",
       " 'Arvo',\n",
       " 'Bahnschrift',\n",
       " 'Baskerville Old Face',\n",
       " 'Bauhaus 93',\n",
       " 'Bell MT',\n",
       " 'Berlin Sans FB',\n",
       " 'Berlin Sans FB Demi',\n",
       " 'Bernard MT Condensed',\n",
       " 'Blackadder ITC',\n",
       " 'Bodoni MT',\n",
       " 'Book Antiqua',\n",
       " 'Bookman Old Style',\n",
       " 'Bookshelf Symbol 7',\n",
       " 'Bradley Hand ITC',\n",
       " 'Britannic Bold',\n",
       " 'Broadway',\n",
       " 'Brush Script MT',\n",
       " 'Calibri',\n",
       " 'Californian FB',\n",
       " 'Calisto MT',\n",
       " 'Cambria',\n",
       " 'Candara',\n",
       " 'Castellar',\n",
       " 'Centaur',\n",
       " 'Century',\n",
       " 'Century Gothic',\n",
       " 'Century Schoolbook',\n",
       " 'Chiller',\n",
       " 'Colonna MT',\n",
       " 'Comic Sans MS',\n",
       " 'Consolas',\n",
       " 'Constantia',\n",
       " 'Cooper Black',\n",
       " 'Copperplate Gothic Bold',\n",
       " 'Copperplate Gothic Light',\n",
       " 'Corbel',\n",
       " 'Courier New',\n",
       " 'Curlz MT',\n",
       " 'DejaVu Sans',\n",
       " 'DejaVu Sans Display',\n",
       " 'DejaVu Sans Mono',\n",
       " 'DejaVu Serif',\n",
       " 'DejaVu Serif Display',\n",
       " 'DengXian',\n",
       " 'Droid Serif',\n",
       " 'Dubai',\n",
       " 'Ebrima',\n",
       " 'Edwardian Script ITC',\n",
       " 'Elephant',\n",
       " 'Engravers MT',\n",
       " 'Eras Bold ITC',\n",
       " 'Eras Demi ITC',\n",
       " 'Eras Light ITC',\n",
       " 'Eras Medium ITC',\n",
       " 'FZShuTi',\n",
       " 'FZYaoTi',\n",
       " 'FangSong',\n",
       " 'Felix Titling',\n",
       " 'Footlight MT Light',\n",
       " 'Forte',\n",
       " 'Franklin Gothic Book',\n",
       " 'Franklin Gothic Demi',\n",
       " 'Franklin Gothic Demi Cond',\n",
       " 'Franklin Gothic Heavy',\n",
       " 'Franklin Gothic Medium',\n",
       " 'Franklin Gothic Medium Cond',\n",
       " 'Freestyle Script',\n",
       " 'French Script MT',\n",
       " 'Gabriola',\n",
       " 'Gadugi',\n",
       " 'Garamond',\n",
       " 'Georgia',\n",
       " 'Gigi',\n",
       " 'Gill Sans MT',\n",
       " 'Gill Sans MT Condensed',\n",
       " 'Gill Sans MT Ext Condensed Bold',\n",
       " 'Gill Sans Ultra Bold',\n",
       " 'Gill Sans Ultra Bold Condensed',\n",
       " 'Gloucester MT Extra Condensed',\n",
       " 'Goudy Old Style',\n",
       " 'Goudy Stout',\n",
       " 'Haettenschweiler',\n",
       " 'Harlow Solid Italic',\n",
       " 'Harrington',\n",
       " 'High Tower Text',\n",
       " 'HoloLens MDL2 Assets',\n",
       " 'Impact',\n",
       " 'Imprint MT Shadow',\n",
       " 'Indie Flower',\n",
       " 'Informal Roman',\n",
       " 'Ink Free',\n",
       " 'Javanese Text',\n",
       " 'Jokerman',\n",
       " 'Juice ITC',\n",
       " 'KaiTi',\n",
       " 'Kristen ITC',\n",
       " 'Kunstler Script',\n",
       " 'Leelawadee UI',\n",
       " 'LiSu',\n",
       " 'Lobster',\n",
       " 'Lucida Bright',\n",
       " 'Lucida Calligraphy',\n",
       " 'Lucida Console',\n",
       " 'Lucida Fax',\n",
       " 'Lucida Handwriting',\n",
       " 'Lucida Sans',\n",
       " 'Lucida Sans Typewriter',\n",
       " 'Lucida Sans Unicode',\n",
       " 'MS Gothic',\n",
       " 'MS Outlook',\n",
       " 'MS Reference Sans Serif',\n",
       " 'MS Reference Specialty',\n",
       " 'MT Extra',\n",
       " 'MV Boli',\n",
       " 'Magneto',\n",
       " 'Maiandra GD',\n",
       " 'Malgun Gothic',\n",
       " 'Marlett',\n",
       " 'Matura MT Script Capitals',\n",
       " 'Microsoft Himalaya',\n",
       " 'Microsoft JhengHei',\n",
       " 'Microsoft New Tai Lue',\n",
       " 'Microsoft PhagsPa',\n",
       " 'Microsoft Sans Serif',\n",
       " 'Microsoft Tai Le',\n",
       " 'Microsoft YaHei',\n",
       " 'Microsoft Yi Baiti',\n",
       " 'MingLiU-ExtB',\n",
       " 'Mistral',\n",
       " 'Modern No. 20',\n",
       " 'Mongolian Baiti',\n",
       " 'Monotype Corsiva',\n",
       " 'Myanmar Text',\n",
       " 'Niagara Engraved',\n",
       " 'Niagara Solid',\n",
       " 'Nirmala UI',\n",
       " 'OCR A Extended',\n",
       " 'Old English Text MT',\n",
       " 'Onyx',\n",
       " 'Open Sans',\n",
       " 'Palace Script MT',\n",
       " 'Palatino Linotype',\n",
       " 'Papyrus',\n",
       " 'Parchment',\n",
       " 'Perpetua',\n",
       " 'Perpetua Titling MT',\n",
       " 'Playbill',\n",
       " 'Poiret One',\n",
       " 'Poor Richard',\n",
       " 'Pristina',\n",
       " 'Rage Italic',\n",
       " 'Raleway',\n",
       " 'Ravie',\n",
       " 'Roboto',\n",
       " 'Roboto Condensed',\n",
       " 'Roboto Slab',\n",
       " 'Rockwell',\n",
       " 'Rockwell Condensed',\n",
       " 'Rockwell Extra Bold',\n",
       " 'STCaiyun',\n",
       " 'STFangsong',\n",
       " 'STHupo',\n",
       " 'STIXGeneral',\n",
       " 'STIXNonUnicode',\n",
       " 'STIXSizeFiveSym',\n",
       " 'STIXSizeFourSym',\n",
       " 'STIXSizeOneSym',\n",
       " 'STIXSizeThreeSym',\n",
       " 'STIXSizeTwoSym',\n",
       " 'STKaiti',\n",
       " 'STLiti',\n",
       " 'STSong',\n",
       " 'STXihei',\n",
       " 'STXingkai',\n",
       " 'STXinwei',\n",
       " 'STZhongsong',\n",
       " 'Script MT Bold',\n",
       " 'Segoe MDL2 Assets',\n",
       " 'Segoe Print',\n",
       " 'Segoe Script',\n",
       " 'Segoe UI',\n",
       " 'Segoe UI Emoji',\n",
       " 'Segoe UI Historic',\n",
       " 'Segoe UI Symbol',\n",
       " 'Showcard Gothic',\n",
       " 'SimHei',\n",
       " 'SimSun',\n",
       " 'SimSun-ExtB',\n",
       " 'Sitka Small',\n",
       " 'Snap ITC',\n",
       " 'Stencil',\n",
       " 'Sylfaen',\n",
       " 'Symbol',\n",
       " 'Tahoma',\n",
       " 'TeamViewer15',\n",
       " 'Tempus Sans ITC',\n",
       " 'Times New Roman',\n",
       " 'Trebuchet MS',\n",
       " 'Tw Cen MT',\n",
       " 'Tw Cen MT Condensed',\n",
       " 'Tw Cen MT Condensed Extra Bold',\n",
       " 'Verdana',\n",
       " 'Viner Hand ITC',\n",
       " 'Vivaldi',\n",
       " 'Vladimir Script',\n",
       " 'Webdings',\n",
       " 'Wide Latin',\n",
       " 'Wingdings',\n",
       " 'Wingdings 2',\n",
       " 'Wingdings 3',\n",
       " 'YouYuan',\n",
       " 'Yu Gothic',\n",
       " 'ZWAdobeF',\n",
       " 'cmb10',\n",
       " 'cmex10',\n",
       " 'cmmi10',\n",
       " 'cmr10',\n",
       " 'cmss10',\n",
       " 'cmsy10',\n",
       " 'cmtt10'}"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from matplotlib.font_manager import FontManager\n",
    "fm = FontManager()\n",
    "mat_font = set(f.name for f in fm.ttflist)\n",
    "mat_font"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 对男1000米跑、男引体进行等宽分箱操作，分成3份，并使用饼图绘制百分比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x1febad60ba8>,\n",
       "  <matplotlib.patches.Wedge at 0x1febabca668>,\n",
       "  <matplotlib.patches.Wedge at 0x1febabcaeb8>],\n",
       " [Text(0.06714361191997036, 1.1981200838723725, '优秀'),\n",
       "  Text(-0.22392583981938965, -1.1789220577549566, '中等'),\n",
       "  Text(1.1896044925370906, -0.15761075894611873, '较差')],\n",
       " [Text(0.03916710695331603, 0.6989033822588838, '48.22%'),\n",
       "  Text(-0.13062340656131063, -0.6877045336903913, '47.59%'),\n",
       "  Text(0.6939359539799694, -0.0919396093852359, '4.19%')])"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "axes = plt.subplot(1,2,1)\n",
    "plt.title(label = '男1000米跑评价',fontsize = 20,fontdict={'family':'Microsoft YaHei'},pad = 20)\n",
    "plt.pie(score_man['男1000米跑评价'].value_counts(),\n",
    "        labels = ['优秀','中等','较差'],\n",
    "        textprops={'family':'Microsoft YaHei','fontsize':18},\n",
    "        autopct='%0.2f%%',\n",
    "        explode=[0.1,0.1,0.1],\n",
    "        shadow=True)\n",
    "\n",
    "\n",
    "\n",
    "axes = plt.subplot(1,2,2)\n",
    "plt.title(label = '男引体评价',fontsize = 20,fontdict={'family':'Microsoft YaHei'},pad = 20)\n",
    "plt.pie(score_man['男引体评价'].value_counts(),\n",
    "        labels = ['优秀','中等','较差'],\n",
    "        textprops={'family':'Microsoft YaHei','fontsize':18},\n",
    "        autopct='%0.2f%%',\n",
    "        explode=[0.1,0.1,0.1],\n",
    "        shadow=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 37.,  15., 157., 384.])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([  0.,  25.,  50.,  75., 100.])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "count,bins,fig = plt.hist(score_woman['女800米跑分数'],bins=4)\n",
    "display(count,bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 19.,  10., 416., 148.])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([  0.,  25.,  50.,  75., 100.])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "count,bins,fig = plt.hist(score_woman['女跳远分数'],bins=4,color= 'green')\n",
    "display(count,bins)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用嵌套饼图对比男女生体重指数进行比例统计，分为正常、低体重、超重、肥胖"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       超重\n",
       "1       正常\n",
       "2      低体重\n",
       "3       超重\n",
       "4       正常\n",
       "5       正常\n",
       "6       正常\n",
       "7       超重\n",
       "8       正常\n",
       "9       正常\n",
       "10      正常\n",
       "11      正常\n",
       "12      正常\n",
       "13      正常\n",
       "14     低体重\n",
       "15      正常\n",
       "16      正常\n",
       "17      正常\n",
       "18      正常\n",
       "19      正常\n",
       "20      正常\n",
       "21      正常\n",
       "22      正常\n",
       "23      肥胖\n",
       "24     低体重\n",
       "25      正常\n",
       "26      正常\n",
       "27      正常\n",
       "28      正常\n",
       "29      超重\n",
       "      ... \n",
       "447     肥胖\n",
       "448     正常\n",
       "449     正常\n",
       "450     正常\n",
       "451     正常\n",
       "452     正常\n",
       "453     肥胖\n",
       "454    低体重\n",
       "455     正常\n",
       "456     超重\n",
       "457     正常\n",
       "458     正常\n",
       "459     正常\n",
       "460     肥胖\n",
       "461     正常\n",
       "462     正常\n",
       "463     正常\n",
       "464     肥胖\n",
       "465     正常\n",
       "466     正常\n",
       "467     正常\n",
       "468    低体重\n",
       "469     正常\n",
       "470     正常\n",
       "471     正常\n",
       "472     正常\n",
       "473     超重\n",
       "474     正常\n",
       "475     正常\n",
       "476    低体重\n",
       "Name: BMI评分等级, Length: 477, dtype: object"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def convert(x):\n",
    "    if x > 16.5 and x <= 23.2:\n",
    "        return '正常'\n",
    "    elif x  <= 16.5:\n",
    "        return '低体重'\n",
    "    elif x > 23.2 and x < 26.3:\n",
    "        return '超重'\n",
    "    elif x >= 26.3:\n",
    "        return '肥胖'\n",
    "score_man['BMI评分等级'] = score_man['BMI'].map(convert)\n",
    "score_man['BMI评分等级']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       正常\n",
       "1       超重\n",
       "2       超重\n",
       "3       正常\n",
       "4       超重\n",
       "5      低体重\n",
       "6       正常\n",
       "7       正常\n",
       "8      低体重\n",
       "9       正常\n",
       "10      超重\n",
       "11      正常\n",
       "12      正常\n",
       "13      正常\n",
       "14      正常\n",
       "15      正常\n",
       "16      肥胖\n",
       "17      正常\n",
       "18      超重\n",
       "19      正常\n",
       "20      正常\n",
       "21      正常\n",
       "22      正常\n",
       "23      正常\n",
       "24      正常\n",
       "25      正常\n",
       "26      正常\n",
       "27      正常\n",
       "28      正常\n",
       "29      超重\n",
       "      ... \n",
       "563     正常\n",
       "564     正常\n",
       "565     正常\n",
       "566     超重\n",
       "567     肥胖\n",
       "568    低体重\n",
       "569    低体重\n",
       "570     正常\n",
       "571     正常\n",
       "572     正常\n",
       "573     正常\n",
       "574     正常\n",
       "575     超重\n",
       "576     正常\n",
       "577     肥胖\n",
       "578     正常\n",
       "579     超重\n",
       "580     正常\n",
       "581     正常\n",
       "582     正常\n",
       "583    低体重\n",
       "584     正常\n",
       "585     正常\n",
       "586     正常\n",
       "587     正常\n",
       "588     正常\n",
       "589     正常\n",
       "590     正常\n",
       "591     正常\n",
       "592     正常\n",
       "Name: BMI评分等级, Length: 593, dtype: object"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def convert(x):\n",
    "    if x > 16.5 and x <= 22.7:\n",
    "        return '正常'\n",
    "    elif x  <= 16.5:\n",
    "        return '低体重'\n",
    "    elif x > 22.7 and x < 25.2:\n",
    "        return '超重'\n",
    "    elif x >= 25.2:\n",
    "        return '肥胖'\n",
    "score_woman['BMI评分等级'] = score_woman['BMI'].map(convert)\n",
    "score_woman['BMI评分等级']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x1fec39d89e8>,\n",
       "  <matplotlib.patches.Wedge at 0x1fec39c5198>,\n",
       "  <matplotlib.patches.Wedge at 0x1fec39c5898>,\n",
       "  <matplotlib.patches.Wedge at 0x1fec39c5f98>],\n",
       " [Text(-0.5246578515889095, 0.5635903998171986, ''),\n",
       "  Text(0.28474491207354147, -0.715416197082671, ''),\n",
       "  Text(0.6878256385128672, -0.3461154301737595, ''),\n",
       "  Text(0.766501608236961, -0.07331633221972042, '')],\n",
       " [Text(-0.26232892579445477, 0.2817951999085993, '73.86%'),\n",
       "  Text(0.14237245603677073, -0.3577080985413355, '14.33%'),\n",
       "  Text(0.3439128192564336, -0.17305771508687975, '8.77%'),\n",
       "  Text(0.3832508041184805, -0.03665816610986021, '3.04%')])"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "plt.title(label = '男女生体重指数比例统计',fontsize= 20,fontdict={'family':'Microsoft YaHei'})\n",
    "plt.pie(\n",
    "score_man['BMI评分等级'].value_counts(),\n",
    "radius=1,\n",
    "autopct='%0.2f%%',\n",
    "pctdistance=0.85,\n",
    "labels=['男：正常','男：超重','男：肥胖','男：低体重'],\n",
    "textprops={'family':'Microsoft YaHei','fontsize':'12'},\n",
    "wedgeprops={'linewidth':5,'width':0.3,'edgecolor':'white'})\n",
    "\n",
    "\n",
    "\n",
    "plt.pie(\n",
    "score_woman['BMI评分等级'].value_counts(),\n",
    "radius=0.7,\n",
    "autopct='%0.2f%%',\n",
    "pctdistance=0.55,\n",
    "textprops={'family':'Microsoft YaHei','fontsize':'12'},\n",
    "wedgeprops={'linewidth':5,'edgecolor':'white'})"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
